Machine-Learning Based System for Virtual Flow Metering

2. The virtual flow meter of claim 1, wherein the one or more processors are configured to execute the computer-readable instructions to train the trained neural network architecture prior to receiving the one or more input parameters.

3. The virtual flow meter of claim 2, wherein the one or more processors are configured to execute the computer-readable instructions to train the trained neural network architecture using data collected for the injector at least one well over a period of time.

4. The virtual flow meter of claim 3, wherein the one or more processors are configured to execute the computer-readable instructions to detrend the data by subtracting off a value of an endpoint of a sequence from all other points in the sequence.

5. The virtual flow meter of claim 3, wherein the one or more processors are configured to execute the computer-readable instructions to normalize the data after detrending using minimum and maximum values of all sequences of the data.

6. The virtual flow meter of claim 2, wherein the one or more processors are configured to execute the computer-readable instructions to optimize the trained neural network architecture using a dynamic programing optimization method and the one or more outputs.

7. The virtual flow meter of claim 1, wherein the one or more outputs include an oil production rate and a water production rate.

8. The virtual flow meter of claim 1, wherein the virtual flow meter is accessible via a terminal by an operator of the injector ell.

9. The virtual flow meter of claim 1, wherein the injector well and the producing well are a steam assisted gas drainage well pair.

12. The method of claim 11, wherein the trained neural network architecture is trained using data collected for the injector well over a period of time.

13. The method of claim 12, wherein the training includes detrending the data by subtracting off a value of an endpoint of a sequence from all other points in the sequence.

16. The method of claim 10, wherein the one or more outputs include an oil production rate and a water production rate.

17. The method of claim 10, wherein the virtual flow meter is accessible via a terminal by an operator of the injector well.

18. The method of claim 10, wherein the injector well and the producing well are a steam assisted gas drainage well pair.